公开(公告)号：US20220330090A1

公开(公告)日：2022-10-13

申请号：US17852713

申请日：2022-06-29

Applicant: ZTE Corporation

Inventor： Jiren HAN ,  Yin GAO ,  Dapeng LI ,  Zhuang LIU ,  Jiajun CHEN

IPC: H04W28/08 ,  G06N5/02

Abstract: This disclosure describes methods and systems for exchanging AI computing information for load prediction model between network elements of a wireless communication network. The methods include: sending, by a first network element of a wireless communication network, a first message for load prediction to a second network element of the wireless communication network, wherein the first message comprises at least one of an input to a machine learning model for load prediction of the first network element or model configuration information of the machine learning model.